* for document data. This class wraps an existing map and provides custom behavior
 * for the entrySet method to ensure language fields appear first in iteration order.
 * Used throughout the Fess search system for document data manipulation.
 *
 */
public class DocMap implements Map<String, Object> {

    /** The key used for language field identification */
    private static final String LANG_KEY = "lang";

* Conçu autour de ces standards, après une étude méticuleuse. Plutôt qu'une couche ajoutée après coup.
* Cela permet également d'utiliser la **génération automatique de code client** dans de nombreux langages.

### Documentation automatique { #automatic-docs }

Documentation d'API interactive et interfaces web d'exploration. Comme le framework est basé sur OpenAPI, plusieurs options existent, 2 incluses par défaut.

    /**
     * Sort parameter for error page fallback.
     * Defines the sorting order if redirection fails.
     */
    public String sort;

    /**
     * Language parameter for error page fallback.
     * Specifies the language preference if redirection fails.
     */
    public String lang;

    /**
     * Additional fields map for error page fallback.

### Target language

Translate to Turkish (Türkçe).

Language code: tr.

### Core principle

Don't translate word-by-word. Rewrite naturally in Turkish as if writing the doc from scratch. Preserve meaning, but prioritize fluency over literal accuracy.

### Grammar and tone

- Use instructional Turkish, consistent with existing Turkish docs.
- Use imperative/guide language (e.g. "açalım", "gidin", "kopyalayalım", "bir bakalım").

        print(f"Error processing {path}: {e}")
        return False
    return True


@cli.command()
def fix_all(ctx: typer.Context, language: str):
    docs = get_all_paths(language)

    all_good = True
    for page in docs:
        doc_path = Path("docs") / language / "docs" / page
        res = process_one_page(doc_path)
        all_good = all_good and res

    if not all_good:

# Тестовий файл LLM { #llm-test-file }

Цей документ перевіряє, чи розуміє <abbr title="Large Language Model - Велика мовна модель">LLM</abbr>, який перекладає документацію, `general_prompt` у `scripts/translate.py` та мовно-специфічну підсказку в `docs/{language code}/llm-prompt.md`. Мовно-специфічна підсказка додається до `general_prompt`.

Тести, додані тут, побачать усі автори мовно-специфічних підсказок.

Використовуйте так:

 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.model.interpolation;

/*
 * Copyright 2007 The Codehaus Foundation.
 *

     */
    public PopularWordsRequestBuilder addField(final String field) {
        request.addField(field);
        return this;
    }

    /**
     * Adds a language to filter by.
     * @param lang The language.
     * @return This builder instance.
     */
    public PopularWordsRequestBuilder addLanguage(final String lang) {
        request.addLanguage(lang);
        return this;
    }

We welcome pull requests for your language.

### Translations

- [日本語 (Japanese)](docs/ja/README.md)

### Target language

Translate to Japanese (日本語).

Language code: ja.

### Grammar and tone

- Use polite, instructional Japanese (です/ます調).
- Keep the tone concise and technical (match existing Japanese FastAPI docs).

### Headings

- Follow the existing Japanese style: short, descriptive headings (often noun phrases), e.g. 「チェック」.
- Do not add a trailing period at the end of headings.

### Quotes